Sensitivity Analysis of Reference Evapotranspiration to Meteorological Parameters (Case Study: Synoptic Stations of Yazd Province)

Document Type : Research Paper

Authors

1 Assistant Professor, Soil and Water Research Department, Yazd Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Yazd, Iran.

2 Associate Professor, Department of Irrigation and Soil Physic, Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

3 Assistant professor, Department of irrigation and soil physics, Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

4 Researcher, Department of Irrigation and Soil Physics, Soil and Water Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

Abstract

Due to quantity and quality water crises in Yazd province and the necessity of precise determination of crop water need, sensitivity analysis of reference evapotranspiration to meteorological parameters is essential. For this purpose in this study, the effects of variations of each meteorological parameter on reference evapotranspiration (estimated by FAO Penman-Mantith 56) were analyzed in different weather stations of Yazd province. Meteorological parameters during 2001 to 2020 including temperature, humidity, wind speed, and sunshine hours were changed in the range of ±20%. Based on the results of this study wind speed, maximum temperature and sunshine hours were the most important parameters that affect reference evapotranspiration in three yearly, seasonal, and monthly scales. 20 percent changing of each parameter including wind speed, maximum temperature, and sunshine hours caused sensitivity coefficients of yearly evapotranspiration to be (0.32-0.46), (0.27-0.34), and (0.12-0.2) respectively. In general, on a seasonal scale, the most impact of wind speed parameter on reference evapotranspiration was in summer and the most important impact of maximum temperature parameter on reference evapotranspiration was in spring and autumn. From November until April the most sensitivity of reference evapotranspiration was observed for maximum temperature, wind speed, and sunshine hours. From April until October the most sensitivity of reference evapotranspiration was observed for wind speed, maximum temperature, and sunshine hours. According to the results of this study, for monthly scale the sensitivity of reference evapotranspiration to the wind speed is higher for the station with lower altitude. Also, the altitude variation of meteorological stations has been effective in the sensitivity of reference evapotranspiration to the wind speed for annual and seasonal scales.

Keywords

References

Alijani, B. (2002). Synoptic climatology. (1st ed.). Tehran, Samt Publication. (In Farsi)
Allen, R.G., Pereira, L. S., Raes, D. and Smith, M. (1998). Crop Evapotranspiration (Guidelines for Computing Crop Water Requirements). FAO Irrigation and Drainage Paper No.56. FAO: Rome, Italy.
Attari, M. and Taheri, B.(2016). Hydrology. (1th ed.). Tehran. Simaye danesh. (In Farsi) 
Bakhtiari, B. and. Liaghat, A.M. (2011).Seasonal sensitivity analysis for climatic variables of ASCE Penman- Monteith model in a semi-arid climate. Journal of Agricultural Science and Technology,13, 1135-1145.
Bois B., Pieri, P., Leeuwen, C., wold, L., Huard, F., Gaudillere, J. and Saur, E. (2007). Using remotely sensed solar radiation data for reference evapotranspiration estimation at a daily time step. Agricultural and Forest Meteorology, 148(4), 619-630.
Cheng, W.,  Xi, H. and  Celestin, S. (2021). Application of geodetector in sensitivity analysis of reference crop evapotranspiration spatial changes in Northwest China. Sciences in Cold and Arid Regions, 13(4), 314-325.
Dinpajooh, Y. (2011). Temporal Trend Analysis Of Reference Crop Evapotranspiration (Case Study: Hamedan Station).  Geographic Space, 11 (34), 260 To 286.
Dinpashoh, Y., Jhajharia, D., Fakheri-Fard, A., Singh, V.P.  and Kahya. E. (2011). Trends in reference crop evapotranspiration over Iran. Journal of Hydrology, 399(3-4), 422-33.
Dinpashoh, Y. and Sharifi, A. R. (2012). Sensitivity of Reference Crop Evapotranspiration to Changes in Meteorological Parameters (Case study: Sanandaj and Sabzevar). Soil and Water Science, 23(3), 25-43. (In Farsi)
Dinpashoh, Y.,  Jahanbakhsh Asi, S. and Foroughi, M. (2019). Sensitivity analysis of reference crop evapotranspiration to change in meteorological parameters in north-west and west of Iran. Journal of Water and Soil Resources Conservation, 8(2), 1-15. (In Farsi)
Dong, Q., Wang, W., Shao, Q., Xing, W., Ding, Y., Fu, J. (2019). The response of reference evapotranspiration to climate change in Xinjiang, China: historical changes, driving forces, and future projections. International Journal of Climatology, 40, 235–254.
Fang, M. (2021). Variations and Sensitivity Analysis of Reference Evapotranspiration During 2010-2019 in the Zhangye Farmland Oasis, Northwest China, Research Square, https://doi.org/10.21203/rs.3.rs-831426/v1
Ghiami-Shomami, F., Kawasaki, K., Leonardo, Shinoda, S. and Fan, Y. (2019). Sensitivity of potential evapotranspiration to climate factors in forested mountainous watersheds. Hydrological Research Letters, 13(3),41-48.
Gong, L, Chong-yu, X., Deliang, C., Sven, H. and Yongqin, D. C. (2006). Sensitivity of the Penman–Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin, Journal of Hydrology, 329, 620– 629.
Hu, S., Gao, R. , Zhang, T., Bai, P. and Zhang, R.(2021). Spatio-temporal variation of reference evapotranspiration and Its climatic drivers over the Tibetan Plateau during 1970–2018. Applied Sciences, 11, 1-14.
Jerszurki, D.,  Moretti de Souza, J. L. and  de Carvalho Ramos Silva, L. (2019). Sensitivity of ASCE-Penman–Monteith reference evapotranspiration under different climate types in Brazil. Climate Dynamics, 1-14.
Jianga, S., Lianga, C., Cuia, N., Zhaoa, L., Dub, T., Huc, X., Fenga, Y., Guana, J. and Fenga, Y. (2019). Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China. Agricultural Water Management, 216, 365-378.
Kang, T., Li, Z. and Gao, Y. (2021). Spatiotemporal Variations of Reference Evapotranspiration and Its Determining Climatic Factors in the Taihang Mountains, China. Water, 13, 1-22.
Khadempour, F., Bakhtiari, B. and Golestani, S. (2017). Sensitivity Analysis of FAO Penman-Monteith Model in Daily Reference Evapotranspiration Estimation and Zoning Sensitivity Coefficients across Iran. Journal of Water and Soil, 31(4), 1049-1059. (In Farsi)
Majozi, N. P., Mannaerts, C. M.,  Ramoelo, A., Mathieu, R. and Verhoef, W. (2021). Uncertainty and Sensitivity Analysis of a Remote-Sensing-Based Penman–Monteith Model to Meteorological and Land Surface Input Variables. Remote sensing, 1-18. https://doi.org/10.3390/rs13050882.
Makari, M., Ghahraman, B. and Sanaeinejad, S. H. (2015). Sensitivity Analysis of  ETo for Five Current Models Using Monte-Carlo Simulation Case study: Bojnourd Synoptic Station. Journal of Water and Soil, 28(6), 1126-1136.(In Farsi)
Msaudian, A. (2003), Geographical distribution of precipitation in Iran the factanalysis rotation, Journal of Geography and development, 1(1), 79-89.
Mosaedi, A., Ghabaei Sough, M., Sadeghi., S. H., Mooshakhian, Y Bannayan, M. (2016). Sensitivity analysis of monthly reference crop evapotranspiration trends in Iran: a qualitative approach. Theoretical and  Applied Climatology,1-17, DOI: 10.1007/s00704-016-1740-y.
Mubialiwo, A., Onyutha, C., Abebe, A. (2020). Historical rainfall and evapotranspiration changes over mpologoma catchment in Uganda, hindawi. Advances in Meteorology,1- 19. https://doi.org/10.1155/2020/8870935.
Ndiaye, P. M., Bodian,A., Diop, L., Dezetter, A., Guilpart, E., Deme, A., Ogilvie, A. (2021). Future trend and sensitivity analysis of evapotranspiration in the Senegal River Basin. Journal of Hydrology, 35,1-23.
Rahimian, M. H., Haji Hosseini, A., Spress, R. and Beyrami, H. (2018).Compilation of Agricultural Water Productivity Document in Yazd Province. National Salinity Research Center, Number 53298. (In Farsi)
Rahimikhoob, H., Sohrabi, T. and Delshad, M. (2021). Sensitivity Analysis of Reference Crop Evapotranspiration Estimation Methods to Meteorological Factors in Greenhouse Conditions. Iranian Journal of Irrigation and Drainage, 2(15), 307-315. (In Farsi)
Shirmohammadi –Aliakbarkhani, Z. and Saberali, S. F. (2021). Sensitivity Analysis of the Reference Evapotranspiration to Meteorological Parameters in Khorasan Razavi Province. Journal of Watershed Management Research, 12(23), 260-272. (In Farsi)
Talebi, A., Poormohammadi, S., Rahimian, M.H. (2010). Investigation Of Effective Factors On Reference Evapotranspiration Using Sensitivity Analysis Of Fao-Penman-Monteith Equation (Case-Study: Yazd, Tabas And Marvast Stations).  Physical Geography Research Quarterly, 73, 97-110. (In Farsi). 
Tran, H. Q. (2021). Sensitivity analysis for effect of changes in input data on hydrological parameters and water balance components in the catchment area of Hungarian lowland. Journal of Environmental Geography, 14 (3–4), 1–13.
Xie, R. and Wang, A.(2020). Comparison of Ten Potential Evapotranspiration Models and Their Attribution Analyses for Ten Chinese Drainage Basins. Advances in Atmospheric Sciences, 37, 959–974.
Yang, Y., Chen, R., Song, Y., Han, C., Liu, J. and Liu, Z. (2019). Sensitivity of potential evapotranspiration to meteorological factors and their elevational gradients in the Qilian Mountains,northwestern China. Journal of Hydrology, 568, 147 -159
Zhang, X., Kang, S,. Zhang, L. and Lu, J. (2010). Spatial variation of climatology monthly crop reference evapotranspiration and sensitivity coefficients in Shiyang river basin of northwest China. Agriculture Water Management, 97, 1506-1516.
Zhang, X., Xiao, W., Wang, Y., Wang, Y.,  Kang, M.,  Wang, H.  and Huang, Y. (2020). Sensitivity analysis of potential evapotranspiration to key climatic factors in the Shiyang River Basin. Journal of Water and Climate Change, 1-10.
 
Iranian Journal of Soil and Water Research
Volume 53, Issue 2
May 2022
Pages 287-303

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